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000888398 1001_ $$0P:(DE-Juel1)159526$$aWürzburger, My Linh$$b0$$eCorresponding author
000888398 1112_ $$aSymposium of the International Association for Fire Safety Science$$cWaterloo$$d2020-04-27 - 2020-05-01$$gIAFSS 2020$$wCanda
000888398 245__ $$aDynamic domain expansion in smoke spread simulations with ARTSS: Speedup and overhead
000888398 260__ $$aNew York, NY [u.a.]$$bElsevier$$c2021
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000888398 520__ $$aThis paper describes the impact and consequences of a dynamic domain expansion in a smoke simulation performed in the software ARTSS. This software is developed with the aim to conduct real-time or even prognosis computations by using GPUs as the main computational architecture. Further runtime acceleration is proposed by means of a dynamic expansion of the computational domain. This approach is based on the reduction of the computational domain, which is dynamically adapted to calculate only the domain of interest, e.g. regions containing smoke. Here, the domain starts as a localised region and is expanded based on prescribed criteria. This contribution outlines the initial implementation. However, to understand the impact of an expansion, the overhead caused by the expansion process, the influence on the numerical result and on the runtime, as well as the used expansion parameters, are investigated. In general, an increased acceleration can be eventually observed at the costs of accuracy due to the reduced domain. The overhead and accuracy can be controlled by the method's parameters. The loss of accuracy depends strongly on which expansion methods and setting are used. With more complex expansion methods, the loss of accuracy can be reduced.
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000888398 7001_ $$0P:(DE-Juel1)132044$$aArnold, Lukas$$b1
000888398 770__ $$aFire Safety Science: Proceedings of the 13th International Symposium
000888398 773__ $$0PERI:(DE-600)1483569-1$$a10.1016/j.firesaf.2020.103168$$gp. 103168 -$$p103168$$tFire safety journal$$v120$$x0379-7112$$y2021
000888398 8564_ $$uhttps://juser.fz-juelich.de/record/888398/files/Postprint.pdf$$yPublished on 2020-07-14. Available in OpenAccess from 2022-07-14.
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